
Flyover Grade
pre underwritten and ranked small CRE deals
What it does
Hundreds of sub-$10M retail, multifamily, and industrial deals across the flyover country, pre-underwritten through an investor's lens. Free to browse, membership unlocks exact address and price.
Every sub-$10M retail, multifamily, and industrial listing across the flyover country, pre-underwritten through an investor
We pull neighborhood retail, multifamily, and flex industrial listings across the flyover country and pre underwrite every one through an investor's lens. You get a distilled shortlist of the most promising opportunities, not another spreadsheet to build yourself. Every listing across the heartland is pulled and filtered to your price band — neighborhood retail centers and single-tenant NNN, sub-$10M. Each deal runs through the same DSCR model — down payment, rate, amortization, and a 15% expense stress case — plus tenant-based cap rate estimates where a broker hasn't stated one. Deals are graded relative to the batch, not against an arbitrary cutoff — so you always see the best of what's…from flyovergrade.com
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Commerce · 26d ago · equitybee.com
Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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